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Dynamic reserve site selection

机译:动态储备地点选择

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We analyze the problem of choosing sites through time to include in a network of biological reserves for species conservation. When sites cannot all be protected immediately, and excluded sites are threatened by development, planning should factor in both expected biodiversity benefits of sites and development risk. We formulate this problem as a stochastic dynamic integer-programming problem. We find that the timing of selections is critical; conservation budgets available up front yield significantly greater biodiversity protection. We also compare results using optimal and heuristic algorithms. The theory is applied to vertebrate and development threat data from southwestern California.
机译:我们分析了通过时间选择地点以纳入物种保护生物储备网络的问题。如果不能立即保护所有场所,并且受开发的场所威胁着被排斥的场所,则规划应将场所的生物多样性预期收益和开发风险纳入考虑范围。我们将此问题表述为随机动态整数编程问题。我们发现选择的时机很关键。预先获得的保护预算可以大大增强生物多样性的保护。我们还使用最佳算法和启发式算法比较结果。该理论适用于来自加利福尼亚州西南部的脊椎动物和发展威胁数据。

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